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All Journal Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) JRMSI - Jurnal Riset Manajemen Sains Indonesia Kajian Akuntansi
Heliana
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Agriculture, Biological Sciences & Forestry Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Environmental Science Social Sciences

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BIG DATA ANALYSIS IN HUMAN RESOURCES DECISION MAKING: OPTIMIZING WORKFORCE MANAGEMENT Heliana; Wahyuni, Herpita
JRMSI - Jurnal Riset Manajemen Sains Indonesia Vol. 15 No. 01 (2024): Jurnal Riset Manajemen Sains Indonesia
Publisher : Fakultas Ekonomi, Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JRMSI.015.1.06

Abstract

This research aims to conduct an in-depth analysis of the application of Big Data in human resource decision-making, focusing on optimizing workforce management. By measuring four main variables, namely recruitment efficiency, accuracy of employee selection, employee development, and organizational performance based on HR decision-making—Big Data analysis is expected to provide a deeper understanding of workforce dynamics. The research results show that applying Big Data can build recruitment efficiency, increase the accuracy of employee selection, support more appropriate employee development, and ultimately improve overall organizational performance. Big Data makes organizational performance based on HR decision-making by providing a solid foundation for more effective human resource management strategies. This research uses qualitative methods with the help of the NVivo 12 Plus tool to identify research results. Implementing Big Data in various aspects of human resource management is recognized as a catalyst for positive change in workforce management.
ANALYSIS OF BEHAVIORAL ASPECTS IN MAKING KNITTED BAG CRAFT AS A BUSINESS OPPORTUNITY TO INCREASE RETIRED INCOME Nurleli; Sofianty, Diamonalisa; Kuntorini, Ririn Sri; Heliana
Kajian Akuntansi Vol. 26 No. 1 (2025): June 2025
Publisher : UPT Publikasi Ilmiah UNISBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/kajian_akuntansi.v26i1.4583

Abstract

The low income of the Pension Fund received has created new problems that have caused anxiety for retirees in their daily needs because they have not utilized all the potential and resources available, both in terms of education, skills, time, and funds for a productive activity that can make a big contribution to the family economy. The purpose of this study is that retirees (1) are able to utilize the potential they have in making bags, wallets and other forms of knitting in carrying out productive businesses (2) are able to calculate the cost of the product and set the selling price of the Knitted Bag Wallet. Of the 10 retirees who were trained through a questionnaire, it was shown that none of them were unfamiliar with knitting yarn and did not know the calculation of the cost price and the selling price. The results of the mentoring and empowerment of the knitting bag training and the calculation of the cost price and the selling price of this product have produced 5 new SMEs, which are expected to be independent and their products can increase family income. So that finally the retirees who are being trained are able to be independent and become proud SMEs. Keywords: Cost of Good Sold, Selling Price, Pension, knitting
The Movement to Maintain Food Security Through Technological Advancements and Local Diversification: Ministry of Agriculture Republic of Indonesia Herlina, Nia; Wahyuni, Herpita; Winahyu, Fauziyya Puji; Anwar, Khairul; Heliana
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol 14 No 3 (2024): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Pusat Penelitian Lingkungan Hidup, IPB (PPLH-IPB) dan Program Studi Pengelolaan Sumberdaya Alam dan Lingkungan, IPB (PS. PSL, SPs. IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.14.3.555

Abstract

This study aims to determine the food security movement using a qualitative descriptive research method assisted by NVivo 12 Plus software from the Twitter account data source of the Ministry of Agriculture Republic of Indonesia, supported by previous research. Data coding was obtained from Twitter, social media, and news data, which supported the findings using a crosstab query feature. The analysis found that the government's strategy for maintaining food security was to increase production capacity, diversify local food, strengthen food reserves and logistics systems, and develop modern agriculture. They increased food production by intensifying 85,456 hectares of swamp land and maximizing 85,456 hectares of land. Diversifying local food by massively utilizing local food as an alternative food supply and strengthening food reserves and logistics systems by supporting food reserves that can be used to help other areas affected by disasters as a form of social care, and developing modern agriculture with Smart Farming Developing technology-based clever farming methods, including Agri Drone Sprayer liquid, Surveillance Drones (drones for land mapping), Soil and Weather Sensors, as well as the development of food safety applied to households. Scale with vertical hydroponic growing system training.
Co-Authors Diamonalisa Sofianty Herlina, Nia Khairul Anwar Nurleli Ririn Sri Kuntorini Wahyuni, Herpita Winahyu, Fauziyya Puji